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Gemini 2.0 Flash Thinking vs Kimi K2-Instruct-0905
Comprehensive side-by-side LLM comparison
Kimi K2-Instruct-0905 leads with 54.5% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Kimi K2-Instruct-0905 is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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Moonshot AI
Kimi K2-Instruct-0905 is a language model developed by Moonshot AI. It achieves strong performance with an average score of 64.1% across 29 benchmarks. It excels particularly in MATH-500 (97.4%), MMLU-Redux (92.7%), IFEval (89.8%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
7 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Kimi K2-Instruct-0905
Moonshot AI
2025-09-05
Average performance across 30 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:7.4%
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Kimi K2-Instruct-0905
Average Score:62.0%(+54.5%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.0 Flash Thinking
0 providers
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Kimi K2-Instruct-0905
0 providers
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Gemini 2.0 Flash Thinking
Avg Score:7.4%
Providers:0
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Kimi K2-Instruct-0905
Avg Score:62.0%(+54.5%)
Providers:0